STIFF: thermally safe temperature effect inversion aware FinFET based multi-core

Chakraborty, Shounak; Soteriou, Vassos; Själander, Magnus

Abstract

FinFET, a non-planar device, has become the prevalent choice for chip-multiprocessor (CMP) designs due to its lower leakage and improved scalability as compared to planar CMOS devices. FinFETs are fundamentally different from conventional CMOS circuits in terms of circuit-delay vs. temperature, i.e., circuit-delay decreases in FinFET at higher temperature even in the super threshold supply-voltage regime. Such characteristic of FinFET is known as temperature effect inversion (TEI). But, a drastic increase in channel temperature may lead to an increase in leakage consumption and may accelerate the circuit aging process due to the self-heating effect (SHE). This paper introduces STIFF, which balances the upsides of TEI against the potential hazardous SHE in a FinFET based CMP. Basically, STIFF exploits online performance statistics to determine the thermal intensity of cores and local caches, and scales the supply-voltage prudentially to maintain a stable core-frequency and local-cache performance on-the-fly by exploiting TEI, while reducing the SHE. Our simulation results show that, STIFF is able to maintain a stable frequency of 3.7GHz of the cores with a small standard deviation of 0.23, while maintaining a safe temperature during execution, and it outperforms a state-of-the-art DVFS technique for the FinFET based cores. STIFF also maintains a stable access time at the local L1 caches, while ensuring thermal safety by introducing a cache access cognizant scaling of the supply voltage of the individual L1 cache-banks without any noticeable performance-loss.

Citation

Chakraborty, S., Soteriou, V., & Själander, M. (2022, May). STIFF: thermally safe temperature effect inversion aware FinFET based multi-core. Presented at CF '22: 19th ACM International Conference on Computing Frontiers, Turin Italy

• Presentation Conference Type: Conference Paper (published)
• Conference Name: CF '22: 19th ACM International Conference on Computing Frontiers
• Start Date: May 17, 2022
• End Date: May 22, 2022
• Acceptance Date: Feb 10, 2022
• Online Publication Date: May 17, 2022
• Publication Date: May 17, 2022
• Deposit Date: Jan 9, 2025
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Book Title: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers
• DOI: https://doi.org/10.1145/3528416.3530223
• Public URL: https://durham-repository.worktribe.com/output/3329005